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Ying Zhang

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Posted Yesterday

Fully Funded PhD Positions in Power Electronics Systems and AI for Energy Oklahoma State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD positions with tuition waived and a monthly stipend of $2300.

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Country

United States

University

Oklahoma State University

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Keywords

Computer Science
Electrical Engineering
Smart Grid Technology
Artificial Intelligence
Digital Twin Technology
Microgrid Technology
Power System
Power Electronic
Control System
Renewable Energy Systems
ML

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About this position

Ying Zhang, Assistant Professor at Oklahoma State University, is recruiting fully funded PhD students in power electronics systems, power systems, and AI for energy. The opening focuses on research in digital twinning of electronics, electronics-dominated microgrid modeling and control, and AI foundation models for energy system operation and control.

This opportunity is a strong fit for students interested in electrical engineering, computer science, machine learning, control, smart grids, and microgrids. The post states that the positions are tuition waived and include a $2300 monthly stipend. It also notes that GRE is waived.

Applicants should be highly self-motivated and have strong backgrounds in power and electronics systems, AI, machine learning, control, or related fields. For Spring 2027 applicants, the post says candidates are expected to be currently based in the U.S. or Canada.

To apply, send your CV, transcript(s), and publications to [email protected]. Use the email subject line: PhD Student – [Your University].

Funding details

Fully funded PhD positions with tuition waived and a monthly stipend of $2300.

What's required

Applicants should be highly self-motivated PhD students with strong backgrounds in power and electronics systems, AI, machine learning, control, or related fields. Spring 2027 applicants are expected to be currently based in the U.S. or Canada. CV, transcripts, and publications are requested.

How to apply

Email your CV, transcript(s), and publications to [email protected]. Use the subject line: PhD Student – [Your University].

More information can be found here

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